Critical Review of Temperature Prediction for Lithium-Ion Batteries in Electric Vehicles

被引:0
|
作者
Bao, Junting [1 ]
Mao, Yuan [1 ]
Zhang, Youbing [1 ]
Xu, Hao [1 ]
Jiang, Yajie [2 ]
Yang, Yun [2 ]
机构
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310014, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源
BATTERIES-BASEL | 2024年 / 10卷 / 12期
关键词
lithium-ion battery; thermal management; temperature prediction; thermal runaway; electrochemical model; data-driven method; ELECTROCHEMICAL-THERMAL MODEL; INTERNAL TEMPERATURE; LIFEPO4; BATTERY; IMPEDANCE; CELL; SAFETY; PERFORMANCE; STATE; DISCHARGE; MECHANISM;
D O I
10.3390/batteries10120421
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
This paper reviews recent advancements in predicting the temperature of lithium-ion batteries in electric vehicles. As environmental and energy concerns grow, the development of new energy vehicles, particularly electric vehicles, has become a significant trend. Lithium-ion batteries, as the core component of electric vehicles, have their performance and safety significantly impacted by temperature. This paper begins by introducing the fundamental components and operating principles of lithium-ion batteries, followed by an analysis of how temperature affects battery performance and safety. Next, the methods for measuring and predicting battery temperature are categorized and discussed, including model-based methods, data-driven methods, and hybrid approaches that combine both. Finally, the paper summarizes the application of temperature prediction in a BMS and provides an outlook on future research directions.
引用
收藏
页数:31
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